Data privacy protection based on sensitive attributes dynamic update

Lei, Jun; Chao-hui, Jiang; Guo, Chun

doi:10.1109/ccis.2016.7790287

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…The notion of m-invariance [36] was proposed to prevent intersection attacks for incremental and dynamic datasets; τsafety [32], [33] is an improvement that extends m-invariance to fully dynamic datasets. Several implementations and variations for both notions exist [47] [48].…”

Section: ) M-invariance and τ-Safetymentioning

confidence: 99%

A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing

Nicolau,

Parra-Arnau,

Forné

2024

IEEE Access

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Continuous data publishing aims to anonymise the next publication of changing microdata while preserving privacy. The microdata can change between publications via additions, deletions, insertions, and updates. There are numerous proposals for different database types, adversaries, attacks, and notions. However, many anonymization algorithms include notions of privacy and adversarial models that are specific to the context, with their own terminology and notation. Unfortunately, these proposals are difficult to generalize or translate them to other contexts complicating their understanding and comparison. To address these issues, we propose a taxonomy of anonymization technologies, compare existing solutions, and develop a unifying framework that not only harmonizes concepts and terminology but also notation and nomenclature. We analyze the current state of the art and recent advances in the literature. The analysis enables us to understand the significance and appropriateness of the various proposals in achieving privacy.

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Section: ) M-invariance and τ-Safetymentioning

confidence: 99%

A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing

Nicolau,

Parra-Arnau,

Forné

2024

IEEE Access

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“…Some technologies (e.g., data blur [5], [6] and differential privacy [7]) distort voiceprint features, thus impact user authentication accuracy. Cryptographic based techniques (e.g., attribute-based encryption [8], homomorphic encryption [9], [10] and access control [11], [12]) suffer from high computational complexity and inflexibility. Voiceprint-based user authentication needs to execute pattern matching.…”

Section: Introductionmentioning

confidence: 99%

VOLERE: Leakage Resilient User Authentication Based on Personal Voice Challenges

Zhang

Yan

Wang

et al. 2023

IEEE Trans. Dependable and Secure Comput.

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Voiceprint Authentication as a Service (VAaS) offers great convenience due to ubiquity, generality, and usability. Despite its attractiveness, it suffers from user voiceprint leakage over the air or at the cloud, which intrudes user voice privacy and retards its wide adoption. The literature still lacks an effective solution on this issue. Traditional methods based on cryptography are too complex to be practically deployed while other approaches distort user voiceprints, which hinders accurate user identification. In this paper, we propose a leakage resilient user authentication cloud service with privacy preservation based on random personal voice challenges, named VOLERE (VOice LEakage REsilient). It applies a novel voiceprint synthesis method based on a Log Magnitude Approximate (LMA) vocal tract model to fuse original voices of different speaking modes in order to generate a synthesized voiceprint for authentication. Thus, raw voiceprints of users can be well protected. We implement VOLERE and conduct a series of user tests. Experimental results show sound performance of VOLERE regarding authentication accuracy, efficiency, stability, leakage resilience and user acceptance. In particular, its authentication accuracy is reasonably stable regardless user nationality, gender, age, elapsed time, and environment, as well as variance of speaking modes.

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A Privacy-Preserving Approach for Continuous Data Publication

Zhang

Chen

et al. 2020

Algorithms and Architectures for Parallel Processing

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Data privacy protection based on sensitive attributes dynamic update

Cited by 7 publications

References 7 publications

A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing

A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing

VOLERE: Leakage Resilient User Authentication Based on Personal Voice Challenges

A Privacy-Preserving Approach for Continuous Data Publication

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